Llama 4 Maverick is 98.7% cheaper for input tokens ($0.20 vs. $15.00 per 1M tokens) and $0.60 vs. $60.00 for output tokens (75.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (2465ms faster than o1) with 175 vs. 48 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 48.9% for o1 and 73.8% vs. 78.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Llama 4 Maverick
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$0.20
$15.00
Llama 4 Maverick is 75.0x cheaper
Output Cost / 1M Tokens
$0.60
$60.00
Llama 4 Maverick (99.0% lower)
Prompt Cache Read / 1M
$0.050
$7.500
Llama 4 Maverick is 150.0x cheaper
Prompt Cache Write / 1M
$0.20
$15.00
Llama 4 Maverick is 75.0x cheaper
Context Window (Max Output)
1,049k (33k out)
205k (100k out)
Llama 4 Maverick (5.1x larger context)
Avg TTFT Response Latency
135ms
2600ms
Llama 4 Maverick (2465ms faster)
Generation Speed (Throughput)
175 tok/s
48 tok/s
Llama 4 Maverick (+127 tok/s faster)
SWE-bench Verified (Coding)
62.4%
48.9%
Llama 4 Maverick (+13.5% lead)
GPQA Diamond (PhD STEM)
73.8%
78%
o1 (+4.2% lead)
MMLU-Pro (Multi-Discipline)
84.5%
83.3%
Llama 4 Maverick (+1.2% lead)
MATH-500 (Quantitative Logic)
91%
96.4%
o1 (+5.4% lead)
Inference Value Score (IVR)
77 / 100
37.2 / 100
Llama 4 Maverick (+39.8 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: Llama 4 Maverick or o1?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do Llama 4 Maverick and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Llama 4 Maverick scores 62.4% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Llama 4 Maverick scores 73.8% versus 78% for o1 (and 91% vs 96.4% on MATH-500).
When should you choose Llama 4 Maverick?
Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
When should you choose o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
